COAALA: A Novel Approach to Understanding Extreme Stock-Bond Comovement

Anne-Florence Allard, Hamza Hanbali*, Kristien Smedts

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

31 Downloads (Pure)

Abstract

This article proposes a novel copula model to understand the dependence between extreme variations in stock and government bond returns. This model is used to introduce a tail-based extension of the safe haven concept, which we refer to as a tail risk dampener. Our findings reveal significant cross-country differences in stock–bond local tail dependence and tail risk dampening abilities. Some countries’ bond market can lessen the impact on portfolio returns of extreme negative stock returns, while for others no such negative tail comovement is found. This tail comovement is also not always aligned with global comovement between stocks and bonds. The article concludes that a comprehensive understanding of the comovement and the resulting diversification potential between stock and bond returns necessitates complementing global measures of dependence with local tail measures.
Original languageEnglish
Article numbernbae006
Pages (from-to)1532-1557
Number of pages26
JournalJournal of Financial Econometrics
Volume22
Issue number5
Early online date24 Apr 2024
DOIs
Publication statusE-pub ahead of print - 24 Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s).

Research Groups and Themes

  • AF Financial Markets

Fingerprint

Dive into the research topics of 'COAALA: A Novel Approach to Understanding Extreme Stock-Bond Comovement'. Together they form a unique fingerprint.

Cite this